Images

Location of (A) Baltimore and (B) Norfolk canyons and adjacent slope environments along the U.S. Mid-Atlantic margin. The bathymetry represents 25 m gridded multibeam data with contour lines at every 100 m. Colors on the bathymetric scale represent depth from shallow (red) to deep (blue).

Suspension-feeder isoscapes of Baltimore (A, C) and Norfolk (B, D) canyons with coral distributions outlined in white. Colors represent the different isotopes with cool colors (blues, greens) for δ¹³C data (A, B) and warm colors (pinks, purples) for δ¹⁵N data (C, D), both in ‰.

Figure showing spatial distribution of economic and social flood reduction benefits of marsh restoration with sea level rise, from the study The value of marsh restoration for flood risk reduction in an urban estuary

Location of the study area and details of the simulated restorations. (A) and (B) Location of this study, shown by the red dot in (A) and the orange line in (B).

Aerial photo of Bair Islands State Marine Park, San Mateo County, California, in April 2020.

Underwater view of wave breaking on fringing reef flat on Ofu, American Samoa, within the National Park of American Samoa.

The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS.  Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.

DSAS generates transects that are cast perpendicular to the reference baseline to intersect shorelines at a user-specified spacing alongshore. Please note that the figure above illustrates the placement of both onshore and offshore baselines as examples. In DSAS v6.0 all baselines in a file must be placed either offshore or onshore, not combined.

Black and white images show damage caused by the 1964 earthquake and tsunami in Valdez, Alaska.

Map of the Columbia River Littoral Cell showing validation sites where beach profile surveys (white dots) have been conducted. The labels of some of the transects at the edge of each subcell are displayed.

The images above show views of the Mud Creek landslide, California before (June 8, 2023) and after (Feb. 23, 2024) the 2024 winter season. Images show shaded-relief views of the 3-dimensional landscape data derived by USGS photogrammetry techniques.

Images show the same views of the Mud Creek landslide, California before and after the winter 2024 season. Vertical change shows both erosion (red) and accretion (blue), which reveals changes to the landscape.

Map indicating the location of Loki's Castle Vent Field (LCVF; red dot) near the intersection of the Mohns and Knipovich ridges and (b) the location of the push cores in relation to the east and west mounds.

Photographs, CT scans and stereomicroscope images of cores ROV22PC01 (a) and ROV22PC04 (b) illustrating the discrimination between sediments which were accumulated dominantly through mass wasting (a) and sediments accumulated through plume fallout (b).

Color maps showing output examples of the Simulating Waves Nearshore (SWAN) model and how 1 of the 999 wave conditions was dynamically downscaled to the 200-meter (m) grid scale offshore West Maui, Hawaiʻi. A, The 5-kilometer (km) resolution Hawaiian Chain model. B, The 1-km resolution Maui Nui model embedded in the Hawaiian Chain model.

Animated GIF of a clamshell dredge in operation in San Francisco Bay, California, as part of the Shallow Water Strategic Placement Pilot Project.

Mud Creek slide seen from the air on February 22 2024, as part of USGS remote sensing data to track Big Sur landslides in 2024.

Cover image for sediment core lab video, showing core-lab walk-in refrigerator at the Pacific Coastal and Marine Science Center.

Aerial photo of Sacramento-San Joaquin River Delta, which covers 1,100 square miles and provides water to the San Francisco Bay Area and coastal and southern California and supports dozens of legally protected fish, plant and animal species.

Photo of a delta smelt being measured during a fish survey. The delta smelt is a federally endangered fish species found only in turbid waters of the San Francisco Estuary. 

Illustration showing written physics equations blended with a photograph of Delta smelt.